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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-multilingual-cased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: 20231008-4-distilbert-base-multilingual-cased-new
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # 20231008-4-distilbert-base-multilingual-cased-new
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+
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+ This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Accuracy: 0.6336
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+ - Loss: 1.6836
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:----:|:--------:|:---------------:|
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+ | 2.9921 | 1.82 | 200 | 0.4005 | 2.6163 |
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+ | 2.5551 | 3.64 | 400 | 0.4392 | 2.3236 |
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+ | 2.3073 | 5.45 | 600 | 0.4470 | 2.5807 |
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+ | 2.2161 | 7.27 | 800 | 0.4988 | 2.2248 |
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+ | 2.1575 | 9.09 | 1000 | 0.5249 | 2.0541 |
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+ | 2.0626 | 10.91 | 1200 | 0.4914 | 2.2755 |
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+ | 1.9948 | 12.73 | 1400 | 0.4894 | 2.1453 |
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+ | 1.9417 | 14.55 | 1600 | 0.5041 | 2.0137 |
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+ | 1.8983 | 16.36 | 1800 | 0.5310 | 1.8913 |
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+ | 1.8788 | 18.18 | 2000 | 0.5364 | 1.8624 |
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+ | 1.8485 | 20.0 | 2200 | 0.6336 | 1.6836 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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